CN113592672A - Industrial management control method, equipment and medium based on industrial internet platform - Google Patents
Industrial management control method, equipment and medium based on industrial internet platform Download PDFInfo
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- CN113592672A CN113592672A CN202110884576.9A CN202110884576A CN113592672A CN 113592672 A CN113592672 A CN 113592672A CN 202110884576 A CN202110884576 A CN 202110884576A CN 113592672 A CN113592672 A CN 113592672A
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Abstract
The application discloses an industrial management control method, equipment and a medium based on an industrial internet platform, wherein the method comprises the following steps: acquiring operation data of power transmission and transformation equipment contained in a transformer substation in a preset period through a transformer substation internet platform; generating a corresponding label for the power transmission and transformation equipment according to the manufacturer and the corresponding model of the power transmission and transformation equipment; determining a health file of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label; and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health file. According to the embodiment of the application, the power transmission and transformation equipment is grouped through the label, the operation and inspection service which needs to be executed by the power transmission and transformation equipment is determined, the operation and inspection service which needs to be executed by the power transmission and transformation equipment of which manufacturer of which transformer substation can be automatically reminded, and great convenience is provided for operation and maintenance personnel.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to an industrial management control method, device, and medium based on an industrial internet platform.
Background
The intelligent substation remote monitoring and operation and maintenance diagnosis platform based on the industrial internet acquires characteristic parameters of the operation state of the intelligent substation equipment in real time by performing all-weather state monitoring and intelligent control on main electrical equipment of the whole substation, key equipment installation places and the surrounding environment, establishes a standard equipment monitoring model, remote operation and maintenance service, a complete expert diagnosis system and a complete big data prediction maintenance and optimization scheme through various algorithms, and realizes real-time monitoring, analysis, evaluation and optimization of the operation of the intelligent substation.
The standard architecture design of the industrial Internet platform architecture mainly comprises 4 levels [19] of an edge layer, a basic layer, a platform layer and an application layer, and has a safety protection system covering the whole industrial system. The construction design of the intelligent substation remote monitoring and operation and maintenance diagnosis platform based on the industrial internet comprises (1) an edge layer of the platform, and the interconnection and intercommunication of mass data is realized by connecting and managing main electrical equipment of the whole station and utilizing protocol conversion, which is a data base for realizing the industrial internet platform. (2) The base layer realizes the resource pooling of the information infrastructure through the virtualization of resources such as computation, network, storage and the like. (3) The Platform layer carries out secondary development on a Platform as a Service (Platform as a Service) framework, and the construction of the industrial PaaS layer of the intelligent substation is realized. (4) The application layer forms an industrial App meeting the requirements of remote monitoring and operation and maintenance of the intelligent substation, and the final value of the industrial internet platform is formed. The four-layer architecture and the industrial safety protection form the basic support and the important guarantee of the industrial internet platform.
However, with the continuous progress of science and technology, China is strongly promoting the intelligent transformation of transmission and transformation stations, and the online monitoring technology is the core for realizing the intelligence of the transmission and transformation stations.
At present, the on-line monitoring of the power transmission and transformation equipment is realized by automatically monitoring the equipment periodically or continuously through continuous power supply. For example, high-voltage equipment intellectualization, infrared temperature measurement, power transmission and transformation equipment state monitoring, diagnosis and evaluation, and the like are widely used.
However, a large amount of power supply equipment and protection equipment are erected inside the transformer substation, and operation, maintenance and overhaul work is complicated. In order to meet the power supply requirement of remote areas, a plurality of substations are erected at relatively remote positions, so that the risk of equipment safety is increased, and the difficulty of operation and maintenance management work is increased.
Disclosure of Invention
The embodiment of the application provides an industrial management control method, equipment and medium based on an industrial internet platform, and solves the technical problem that a large amount of power transmission and transformation equipment is erected inside a transformer substation, and the maintenance efficiency is low.
The embodiment of the application adopts the following technical scheme:
in one aspect, an embodiment of the present application provides an industrial management control method based on an industrial internet platform, including: acquiring operation data of power transmission and transformation equipment contained in a transformer substation in a preset period through a transformer substation internet platform; generating a corresponding label for the electric transmission and transformation equipment according to the manufacturer and the corresponding model of the electric transmission and transformation equipment; determining a health file of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label; and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health record.
In one example, the determining of the operation and maintenance service that needs to be executed by the power transmission and transformation equipment specifically includes: taking the health indexes as nodes, taking the association among the health indexes as edges, and establishing a knowledge graph corresponding to each health index; determining the health index measurement values which do not meet preset requirements according to the health index measurement values corresponding to the power transmission and transformation equipment in the health file; determining that the second health index measurement value which does not meet the preset requirement is caused by the first health index measurement value according to the dependency relationship between the first health index and the second health index; and executing the operation and detection service corresponding to the first health index, and not executing the operation and detection service corresponding to the second health index.
In one example, the determining of the operation and maintenance service that needs to be executed by the power transmission and transformation equipment specifically includes: finding a third health index having a dependency relationship with the first health index in the knowledge-graph; the third health indicator measurement value meets the preset requirement; and executing the operation and detection service corresponding to the third health index measurement value.
In one example, the determining of the operation and maintenance service that needs to be executed by the power transmission and transformation equipment specifically includes: obtaining the fault rate of the power transmission and transformation equipment according to the preset requirements according to the health index measured values corresponding to the power transmission and transformation equipment; if the fault rate exceeds a preset fault rate threshold value, the health index measured value meeting the preset requirement is checked, and it is determined that the fourth health index measured value meeting the preset requirement is caused by deviation of operation data; and executing the operation and detection service corresponding to the fourth health index.
In one example, after the determining that the operation and maintenance service that needs to be performed by the power transmission and transformation equipment, the method further includes: determining the failure rate of each power transmission and transformation device in the transformer substation contained in each label; in each label, if the power transmission and transformation equipment exceeding the preset fault rate threshold exceeds a preset quantity threshold; respectively comparing the health index measurement value which does not meet the preset requirement of each power transmission and transformation equipment in each label with the corresponding health index measurement value in the historical period, and determining the performance of each power transmission and transformation equipment; and reducing the preset health index threshold value of the corresponding requirement in the preset requirements according to the performance.
In one example, after the reducing the preset health indicator threshold of the corresponding one of the preset requirements according to the performance, the method further includes: transmitting the health index measured values of the power transmission and transformation equipment exceeding a preset fault rate threshold value in the labels to maintenance nodes in a preset area; determining a maintenance node set consisting of a plurality of maintenance nodes so that the maintenance node set can carry out hidden danger assessment on the power transmission and transformation equipment with the preset fault rate threshold value; receiving a hidden danger assessment report sent by the maintenance node set; and updating corresponding requirements in the preset requirements according to the hidden danger assessment report.
In one example, after determining the failure rate of each power transmission and transformation device in the substation included in each tag, the method further includes: classifying the labels through a risk assessment model according to the fault rate, and determining different control levels; and correspondingly monitoring each power transmission and transformation equipment in each label according to the different management and control levels.
In one example, determining the pre-generated health assessment model specifically includes: determining each group of sample operation data corresponding to each health index measurement value of the power transmission and transformation equipment; carrying out standardization processing on the sample operation data of each group; determining a fuzzy relation matrix of each standardized group of sample operation data according to the trapezoidal membership function; determining a weight matrix of the normalized sets of sample operating data according to a fuzzy analytic hierarchy process; and multiplying and adding the fuzzy relation matrix and the weight matrix to determine the measured values of the health indexes.
On the other hand, the embodiment of the present application provides an industrial management control device based on an industrial internet platform, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to: acquiring operation data of power transmission and transformation equipment contained in a transformer substation in a preset period through a transformer substation internet platform; generating a corresponding label for the electric transmission and transformation equipment according to the manufacturer and the corresponding model of the electric transmission and transformation equipment; determining a health file of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label; and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health record.
In another aspect, an embodiment of the present application provides an industrial management control nonvolatile computer storage medium based on an industrial internet platform, which stores computer-executable instructions configured to: acquiring operation data of power transmission and transformation equipment contained in a transformer substation in a preset period through a transformer substation internet platform; generating a corresponding label for the electric transmission and transformation equipment according to the manufacturer and the corresponding model of the electric transmission and transformation equipment; determining a health file of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label; and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health record.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:
the embodiment of the application can group the power transmission and transformation equipment by generating the corresponding label for the power transmission and transformation equipment, and the health record of the power transmission and transformation equipment is determined, the operation and maintenance service which needs to be executed by the power transmission and transformation equipment is determined according to the health index measurement value which is not in accordance with the preset requirement in the health record, and the operation and maintenance service which needs to be executed by the power transmission and transformation equipment of which manufacturer of which transformer substation can be automatically reminded can be realized, great convenience is provided for operation and maintenance personnel, and the maintenance efficiency is improved.
Drawings
In order to more clearly explain the technical solutions of the present application, some embodiments of the present application will be described in detail below with reference to the accompanying drawings, in which:
fig. 1 is a schematic flowchart of an industrial management control method based on an industrial internet platform according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an industrial management control device based on an industrial internet platform according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following embodiments and accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a schematic flow diagram of an industrial management control method based on an industrial internet platform provided in an embodiment of the present application includes:
s101: and acquiring the operation data of the power transmission and transformation equipment contained in the transformer substation in a preset period through the transformer substation internet platform.
In some embodiments of the present application, the power transmission and transformation equipment includes primary equipment and secondary equipment, and the primary equipment for the power transmission and transformation equipment includes a transformer, capacitive equipment, a high-voltage circuit breaker, a GIS, and the like, and in addition, the primary equipment for the power transmission and transformation equipment includes an electronic transformer, a merging unit, a protection unit, a measurement and control unit, a communication network, and the like.
S102: and generating a corresponding label for the power transmission and transformation equipment according to the manufacturer and the corresponding model of the power transmission and transformation equipment.
In some embodiments of the present application, the server stores, in advance, a manufacturer to which the power transmission and transformation equipment in the substation belongs and a model corresponding to the manufacturer, thereby grouping the power transmission and transformation equipment.
Specifically, firstly, a plurality of manufacturers of the power transmission and transformation equipment in the transformer substation are grouped by the server to obtain labels of a plurality of groups of manufacturers. Secondly, the server carries out grouping on the electric transmission and transformation equipment in each group of factories again according to the models to obtain a plurality of groups of models of labels, and based on the labels, corresponding grouping labels are generated for the electric transmission and transformation equipment in the transformer substation, so that the electric transmission and transformation equipment can be accurately grouped according to the grouping labels.
S103: and determining a health record of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label.
In some embodiments of the present application, after the server obtains the operation data, the operation data is input to a pre-generated health assessment model, so as to obtain a health profile of the power transmission and transformation equipment. It should be noted that the health records carry tags of the power transmission and transformation equipment, and the health records are further grouped according to the tags.
Wherein, healthy archives include each healthy index measured value that power transmission and transformation equipment corresponds, and power transmission and transformation equipment can be any one kind of power transmission and transformation equipment, for example, transformer equipment, capacitive equipment, high voltage circuit breaker and GIS. The measured value of the health index of the transformer comprises the content of gas in oil, partial discharge capacity and the like, the measured value of the health index of the capacitive equipment comprises capacitance, capacitance current, dielectric loss, unbalanced voltage and the like, the measured value of the health index of the high-voltage circuit breaker comprises an insulating layer, leakage current under alternating voltage, tan delta and the like, and the GIS comprises SF6Pressure of gas, humidity, partial discharge amount, etc.
In the embodiment of the present application, each health index measurement value refers to a value obtained by performing a series of algorithms on measured operation data. For example, it is calculated by a pre-generated health assessment model.
In some embodiments of the present application, since the health status of the electric transmission and transformation equipment includes a plurality of performances such as electrical performance and mechanical performance, and there are a plurality of sample operation data reflecting the health degree from different sides, and the selected sample operation data includes a qualitative index and a quantitative index, how to measure the qualitative index in the index is a key to the calculation of the health index measurement value.
Specifically, a process for determining a pre-generated health assessment model includes: and the server determines each group of sample operation data corresponding to each health index of the power transmission and transformation equipment. The server obtains sample operation data of the power transmission and transformation equipment, groups the sample operation data and obtains a plurality of groups of sample operation data. Because each set of sample operating data includes a plurality of sample operating data, a corresponding health indicator measurement is determined from the plurality of sample operating data in each set of sample operating data.
And the server standardizes all the groups of sample operation data. In this case, the normalization process is performed by the following formula.
In the formula: x is the actual measured value, x0Is an initial factory value, xmTo define the maximum value, y is the value obtained after normalization.
After the normalization processing is carried out, the server determines the membership degree of each normalized sample operation data in each group of sample operation data by adopting a trapezoidal membership function, so that a fuzzy relation matrix of each group of normalized sample operation data is determined.
And the server acquires the weights of the normalized sample operation data in the sample operation data groups by adopting a fuzzy analytic hierarchy process, so as to determine a weight matrix of the normalized sample operation data groups. When the server obtains the weights through a fuzzy analytic hierarchy process, preference information of S experts is firstly aggregated, then a fuzzy judgment matrix is obtained, a normalized comprehensive judgment matrix is calculated, the corresponding possibility of each health index is obtained to establish a possibility matrix, and the weights of each sample operation data in each group of sample operation data are obtained according to the possibility matrix.
Further, the server multiplies and adds the fuzzy relation matrix and the weight matrix, and then determines the measured value of each health index.
According to the embodiment of the application, the qualitative indexes can be digitalized through a fuzzy set theory, the qualitative index weights can be solved through an analytic hierarchy process, the fuzzy relation matrix and the weight matrix are multiplied and added, the joint action of the membership degree and the weights on the health index measured value calculation is considered, all information is utilized, and the calculation accuracy of the health index measured value is improved.
S104: and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health file.
In some embodiments of the present application, the preset requirement includes a respective preset threshold corresponding to each health indicator measurement value.
It should be noted that, although the embodiments of the present application describe S101 to S104 in sequence with reference to fig. 1, this does not mean that S101 to S104 must be executed in strict sequence. The embodiment is described by sequentially describing S101 to S104 according to the sequence shown in fig. 1, so as to facilitate the technical solution of the embodiment for the skilled person to understand. In other words, in the embodiment of the present application, the sequence between S101 to S104 may be appropriately adjusted according to actual needs.
By the method of the figure 1, the electric transmission and transformation equipment can be grouped by generating the corresponding labels for the electric transmission and transformation equipment, and the transportation and inspection business to be executed by the electric transmission and transformation equipment is determined by determining the health files of the electric transmission and transformation equipment according to the health index measurement values which do not meet the preset requirements in the health files, so that the transportation and inspection business to be executed by the electric transmission and transformation equipment of which model of which manufacturer of which transformer substation needs to be automatically reminded can be realized, great convenience is provided for operation and maintenance personnel, and the maintenance efficiency of the electric transmission and transformation equipment is improved.
Based on the method of fig. 1, the examples of the present application also provide some specific embodiments and extensions of the method, and the following description is continued.
In some embodiments of the present application, in order to determine the accuracy of the health status of the electric transmission and transformation equipment reflected by each health index measurement value of the electric transmission and transformation equipment, the server constructs a corresponding knowledge graph for each health index in advance.
Specifically, the server takes the health indexes as nodes, takes the association among the health indexes as edges, and establishes a knowledge graph corresponding to the health indexes.
Different health index nodes may have one or more types of relationships, such as dependency, complementary relationship, and opponent relationship. According to the relationships, corresponding edges between the health index nodes are formed, so that the health index nodes are associated, and which type or types of relationships are specifically selected and can be set according to actual needs without limitation.
Based on the above description, the embodiment of the application can realize semi-supervised mining of health index node data through the relationship between different health index nodes, so that the monitoring accuracy of the power transmission and transformation equipment is further improved.
In some embodiments of the present application, it has been mentioned above that the health indicator measurement value that does not meet the preset requirement in step S104 is used to determine the operation and maintenance service that needs to be performed by the electric transmission and transformation equipment. Wherein, each health index respectively reflects different performances of the power transmission and transformation equipment. However, since the components of the power transmission and transformation equipment are integrated and cooperate with each other, when the measured value of the health index of the second performance does not meet the preset requirement, the first performance may cause a problem, and after the first performance of the power transmission and transformation equipment is shipped and inspected, the second performance automatically returns to a normal state.
Based on the method, after the server determines the health index measurement value which does not meet the preset requirement, the server determines that the second health index measurement value which does not meet the preset requirement is caused by the first health index measurement value through the dependency relationship between the first health index and the second health index in the knowledge graph from the health index measurement value which does not meet the preset requirement. Therefore, the server executes the operation and detection service corresponding to the first health index, and does not execute the operation and detection service corresponding to the second health index.
Further, since the first performance may not be in accordance with the healthy state, the third performance may be changed, and even if the first performance of the electric transmission and transformation equipment is after the operation and inspection, the third performance may not be automatically restored to the normal state. However, the change in performance is a process action, so that the reflected health indicator measurement value of the third performance may meet the preset requirement at this time, but the health indicator measurement value of the performance may not meet the preset requirement in a future period of time.
Based on the above, the server finds the third health index having a dependency relationship with the first health index in the knowledge graph, and therefore, even if the third health index measurement value meets the preset requirement, the operation and inspection service corresponding to the third health index is executed.
In the embodiment of the present application, the dependency relationship between the first health indicator and the second health indicator is different from the dependency relationship between the first health indicator and the third health indicator.
For example, the first health index measurement value is an insulation layer of a high-voltage circuit breaker, and the third health index measurement value is leakage current under alternating voltage of the high-voltage circuit breaker, wherein the value of the insulation layer of the high-voltage circuit breaker does not meet a preset requirement, but the value of the leakage current under the alternating voltage of the high-voltage circuit breaker meets the preset requirement, and since a problem occurs in the insulation layer, there is a high possibility that electric leakage occurs, and therefore even if the value of the leakage current meets the preset requirement, when the value of the leakage current under the alternating voltage does not meet the preset requirement, the corresponding operation and inspection service is performed.
According to the embodiment of the application, the health index measurement value meeting the preset requirement is predicted through the knowledge map, the secondary inspection of the power transmission and transformation equipment is realized after the detection of the health assessment model, and the potential safety hazard is discovered in time.
In an embodiment of the application, because the operating data of the electric transmission and transformation equipment may be inaccurate, deviation occurs between each health index of the electric transmission and transformation equipment and an actual health state, and therefore, only according to whether each health index measurement value meets a preset requirement, part of potential safety hazards of the electric transmission and transformation equipment cannot be reflected really.
Therefore, the server can obtain the fault rate of the power transmission and transformation equipment according to the health index measured values corresponding to the power transmission and transformation equipment through preset requirements.
Further, if the fault rate exceeds a preset fault rate threshold, the health index measured value meeting the preset requirement is checked, so that a fourth health index measured value meeting the preset requirement is determined to be caused by deviation of operation data, and then operation and inspection services corresponding to the fourth health index are executed.
According to the embodiment of the application, the health index measured value meeting the preset requirement is checked by detecting that the fault rate exceeds the preset fault rate threshold value so as to verify the actual health state of the power transmission and transformation equipment. In fact, the performance of the electric transmission and transformation equipment corresponding to the fourth health index has a problem, but the calculated fourth health index measured value meets the preset requirement only when the acquired operation data of the electric transmission and transformation equipment has a deviation. Therefore, the accuracy of monitoring the power transmission and transformation equipment is further improved by checking the health index measured value meeting the preset requirement.
In an embodiment of the present application, if the number of the electric transmission and transformation devices exceeding the preset failure rate threshold value in each tag is too large, the health status of some of the electric transmission and transformation devices may not be problematic because the preset requirement does not meet the performance of the electric transmission and transformation devices of the batch in the tag, but the measured value of the health index corresponding to the performance does not meet the preset requirement, so that the calculated failure rate is relatively high, and the preset requirement needs to be verified.
Specifically, after the server determines the operation and inspection services that need to be executed by the power transmission and transformation equipment, the server determines the failure rate of each power transmission and transformation equipment in the transformer substation, which is included in each label; in each label, if the electric transmission and transformation equipment exceeding the preset fault rate threshold exceeds the preset number threshold, comparing the health index measured value of each electric transmission and transformation equipment in the label, which does not meet the preset requirement, with the health index measured value corresponding to the historical period, respectively, so as to estimate the performance of each electric transmission and transformation equipment in the label, determining an updated preset requirement according to the estimated performance of each electric transmission and transformation equipment in the label, and then matching the preset health index threshold in the updated preset requirement with the preset health index threshold in the original preset requirement, so as to reduce the preset health index threshold of the corresponding requirement in the preset requirement.
In the embodiment of the application, if the electric transmission and transformation equipment exceeding the preset fault rate threshold exceeds the preset quantity threshold in the tags, the preset requirement is verified, so that the condition that part of the current preset requirement does not conform to the electric transmission and transformation equipment of the current batch in the tag is eliminated.
In an embodiment of the application, in order to improve the accuracy of updating some preset requirements in the preset requirements, a certain auxiliary judgment function can be performed through operation and maintenance experience.
Specifically, the server sends the measured values of the health indexes of the power transmission and transformation equipment exceeding a preset fault rate threshold value in the labels to maintenance nodes in a preset area. And determining a maintenance node set consisting of a plurality of maintenance nodes in a preset area.
The specific range of the preset area is set according to requirements, but the specific range of the preset area is a nearby area of the power transmission and transformation equipment. For example, the nearby area includes a distance of 4km from the power transmission and transformation equipment, but the range setting of the preset area should be reasonable, and if the range is too large, the nearby area is not actually calculated.
After receiving the health index measurement values of the power transmission and transformation equipment, a plurality of maintenance nodes in the maintenance node set firstly search the relevant information of the power transmission and transformation equipment, then search the performance corresponding to the power transmission and transformation equipment in a database through the relevant information, and perform hidden danger assessment on the power transmission and transformation equipment by referring to the health index measurement values of the power transmission and transformation equipment to generate a hidden danger assessment report, and then send the hidden danger assessment report to a server.
And after receiving the hidden danger evaluation report, the server updates the corresponding requirements in the preset requirements again.
In the embodiment of the application, in the preset area, a manufacturer of the power transmission and transformation equipment verifies each health index measured value, generates a hidden danger assessment report, and verifies the actual condition of the power transmission and transformation equipment.
In an embodiment of the present application, in a substation, for the electric transmission and transformation devices in different types of tags, different types of electric transmission and transformation devices may be used, or the electric transmission and transformation devices of the same type may be used, but the types are different, and since the performance of the electric transmission and transformation devices is determined by the manufacturer, the type, and the batch, for different tags, differential monitoring is required.
Specifically, after the fault rate of each power transmission and transformation device in each label is known, the server evaluates each label through the risk evaluation model, and after the evaluation result is obtained, classifies each label according to the evaluation result, so that the management and control level of each label is obtained. The control levels of the tags may be the same or different.
Before the monitoring method corresponding to the control level is constructed in advance by the server, and after the control level of each label is obtained, each power transmission and transformation device in each label is monitored according to the constructed monitoring method in advance.
According to the embodiment of the application, each label is evaluated through the risk evaluation model, so that the power transmission and transformation equipment in each label is subjected to differential monitoring, an individualized scheme is formulated for the power transmission and transformation equipment in each label, and the monitoring accuracy of the power transmission and transformation equipment is improved.
Fig. 2 is a schematic structural diagram of an industrial management control device based on an industrial internet platform according to an embodiment of the present application, where the device includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring operation data of power transmission and transformation equipment contained in a transformer substation in a preset period through a transformer substation internet platform;
generating a corresponding label for the power transmission and transformation equipment according to the manufacturer and the corresponding model of the power transmission and transformation equipment;
determining a health file of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label;
and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health file.
Based on the same idea, embodiments of the present application further provide a non-volatile computer storage medium corresponding to the foregoing method, where computer-executable instructions are stored, and the computer-executable instructions are configured to:
acquiring operation data of power transmission and transformation equipment contained in a transformer substation in a preset period through a transformer substation internet platform;
generating a corresponding label for the power transmission and transformation equipment according to the manufacturer and the corresponding model of the power transmission and transformation equipment;
determining a health file of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label;
and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health file.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the technical principle of the present application shall fall within the protection scope of the present application.
Claims (10)
1. An industrial management control method based on an industrial internet platform is characterized by comprising the following steps:
acquiring operation data of power transmission and transformation equipment contained in a transformer substation in a preset period through a transformer substation internet platform;
generating a corresponding label for the electric transmission and transformation equipment according to the manufacturer and the corresponding model of the electric transmission and transformation equipment;
determining a health file of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label;
and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health record.
2. The method according to claim 1, wherein the determining of the operation and maintenance service that needs to be performed by the power transmission and transformation equipment specifically comprises:
taking all health indexes as nodes, taking the association among the health indexes as edges, and establishing a knowledge graph corresponding to each health index;
determining the health index measurement values which do not meet preset requirements according to the health index measurement values corresponding to the power transmission and transformation equipment in the health file;
determining that the second health index measurement value which does not meet the preset requirement is caused by the first health index measurement value according to the dependency relationship between the first health index and the second health index;
and executing the operation and detection service corresponding to the first health index, and not executing the operation and detection service corresponding to the second health index.
3. The method according to claim 2, wherein the determining the operation and maintenance service that the power transmission and transformation equipment needs to perform specifically comprises:
finding a third health index having a dependency relationship with the first health index in the knowledge-graph; the third health index measurement value meets the preset requirement;
and executing the operation and detection service corresponding to the third health index.
4. The method according to claim 2, wherein the determining the operation and maintenance service that the power transmission and transformation equipment needs to perform specifically comprises:
obtaining the fault rate of the power transmission and transformation equipment according to the preset requirements according to the health index measured values corresponding to the power transmission and transformation equipment;
if the fault rate exceeds a preset fault rate threshold value, the health index measured value meeting the preset requirement is checked, and it is determined that a fourth health index measured value meeting the preset requirement is caused by deviation of operation data;
and executing the operation and detection service corresponding to the fourth health index.
5. The method of claim 4, wherein after determining the operational service that the power transmission and transformation equipment needs to perform, the method further comprises:
determining the failure rate of each power transmission and transformation device in the transformer substation contained in each label;
in each label, if the power transmission and transformation equipment exceeding the preset fault rate threshold exceeds a preset quantity threshold;
respectively comparing the health index measurement value which does not meet the preset requirement of each power transmission and transformation equipment in each label with the corresponding health index measurement value in the historical period, and determining the performance of each power transmission and transformation equipment;
and reducing the preset health index threshold value of the corresponding requirement in the preset requirements according to the performance.
6. The method of claim 5, wherein after decreasing, according to the performance, a preset health indicator threshold for a respective one of the preset requirements, the method further comprises:
transmitting the health index measured values of the power transmission and transformation equipment exceeding a preset fault rate threshold value in the labels to maintenance nodes in a preset area;
determining a maintenance node set consisting of a plurality of maintenance nodes so that the maintenance node set can carry out hidden danger assessment on the power transmission and transformation equipment with the preset fault rate threshold value;
receiving a hidden danger assessment report sent by the maintenance node set;
and updating corresponding requirements in the preset requirements according to the hidden danger assessment report.
7. The method of claim 5, wherein after determining the failure rate of each of the power transmission and transformation devices in the substation contained in each of the tags, the method further comprises:
classifying the labels through a risk assessment model according to the fault rate, and determining different control levels;
and correspondingly monitoring each power transmission and transformation equipment in each label according to the different management and control levels.
8. The method of claim 1, wherein determining the pre-generated health assessment model comprises:
determining each group of sample operation data corresponding to each health index of the electric transmission and transformation equipment;
carrying out standardization processing on the sample operation data of each group;
determining a fuzzy relation matrix of each standardized group of sample operation data according to the trapezoidal membership function;
determining a weight matrix of the normalized sets of sample operating data according to a fuzzy analytic hierarchy process;
and multiplying and adding the fuzzy relation matrix and the weight matrix to determine the measured values of the health indexes.
9. An industrial management control device based on an industrial internet platform, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
acquiring operation data of power transmission and transformation equipment contained in a transformer substation in a preset period through a transformer substation internet platform;
generating a corresponding label for the electric transmission and transformation equipment according to the manufacturer and the corresponding model of the electric transmission and transformation equipment;
determining a health file of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label;
and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health record.
10. An industrial management control non-volatile computer storage medium based on an industrial internet platform, storing computer-executable instructions configured to:
acquiring operation data of power transmission and transformation equipment contained in a transformer substation in a preset period through a transformer substation internet platform;
generating a corresponding label for the electric transmission and transformation equipment according to the manufacturer and the corresponding model of the electric transmission and transformation equipment;
determining a health file of the power transmission and transformation equipment through a pre-generated health evaluation model according to the operation data and the label;
and determining the operation and inspection business required to be executed by the electric transmission and transformation equipment according to the health index measured value which does not meet the preset requirement in the health index measured values corresponding to the electric transmission and transformation equipment in the health record.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102749388A (en) * | 2012-07-11 | 2012-10-24 | 南方电网科学研究院有限责任公司 | Performance monitoring method of oil chromatogram on-line monitoring equipment |
| CN104361236A (en) * | 2014-11-17 | 2015-02-18 | 国家电网公司 | Evaluation method for health condition of electric power equipment |
| CN106446426A (en) * | 2016-09-29 | 2017-02-22 | 国网山东省电力公司电力科学研究院 | Health index based power transformer evaluation method |
| CN109856299A (en) * | 2018-11-26 | 2019-06-07 | 国家电网有限公司 | A kind of transformer online monitoring differentiation threshold value dynamic setting method, system |
| CN112800212A (en) * | 2021-01-14 | 2021-05-14 | 国网山东省电力公司枣庄供电公司 | Power distribution station health assessment method based on knowledge graph and FAHP |
-
2021
- 2021-08-02 CN CN202110884576.9A patent/CN113592672B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102749388A (en) * | 2012-07-11 | 2012-10-24 | 南方电网科学研究院有限责任公司 | Performance monitoring method of oil chromatogram on-line monitoring equipment |
| CN104361236A (en) * | 2014-11-17 | 2015-02-18 | 国家电网公司 | Evaluation method for health condition of electric power equipment |
| CN106446426A (en) * | 2016-09-29 | 2017-02-22 | 国网山东省电力公司电力科学研究院 | Health index based power transformer evaluation method |
| CN109856299A (en) * | 2018-11-26 | 2019-06-07 | 国家电网有限公司 | A kind of transformer online monitoring differentiation threshold value dynamic setting method, system |
| CN112800212A (en) * | 2021-01-14 | 2021-05-14 | 国网山东省电力公司枣庄供电公司 | Power distribution station health assessment method based on knowledge graph and FAHP |
Non-Patent Citations (2)
| Title |
|---|
| 唐若愚: ""变压器健康状态特征量提取及其知识图谱研究"", 《中国优秀博硕士学位论文全文数据库(硕士)工程科技Ⅱ辑》 * |
| 李清: ""基于模糊层次分析法的继电保护装置健康指数模型研究"", 《机电信息》 * |
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